Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
Acquisition of Linguistic Patterns for Knowledge-Based Information Extraction
IEEE Transactions on Knowledge and Data Engineering
Bottom-up relational learning of pattern matching rules for information extraction
The Journal of Machine Learning Research
An annotation scheme for discourse-level argumentation in research articles
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Semantic retrieval for the accurate identification of relational concepts in massive textbases
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Bidirectional inference with the easiest-first strategy for tagging sequence data
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Syntactic dependency based heuristics for biological event extraction
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task
Overview of the infectious diseases (ID) task of BioNLP Shared Task 2011
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Adapting a general semantic interpretation approach to biological event extraction
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Generalizing biomedical event extraction
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Adapting a probabilistic disambiguation model of an HPSG parser to a new domain
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
A three-way perspective on scientific discourse annotation for knowledge extraction
ACL '12 Proceedings of the Workshop on Detecting Structure in Scholarly Discourse
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Event-based search systems have become of increasing interest. This paper provides an overview of recent advances in event-based text mining, with an emphasis on biomedical text. We focus particularly on the enrichment of events with information relating to their interpretation according to surrounding textual and discourse contexts. We describe our annotation scheme used to capture this information at the event level, report on the corpora that have so far been enriched according to this scheme and provide details of our experiments to recognise this information automatically.